nocturne_memory vs filesystem

Side-by-side comparison to help you pick between these two MCP servers.

	nocturne_memory by Dataojitori	filesystem by modelcontextprotocol
Stars	★ 1,080	★ 85,748
30d uses	—	—
Score	55	77
Official	—	✓
Categories	AI / LLM ToolsKnowledge GraphDeveloper Tools	File SystemDeveloper ToolsProductivity
Language	Python	TypeScript
Last commit	this month	this month

nocturne_memory · Summary

A long-term memory server for MCP agents that enables persistent, cross-session identity and context.

filesystem · Summary

A feature-rich MCP server for filesystem operations with dynamic directory access control.

nocturne_memory · Use cases

Enable AI agents to maintain consistent identity and context across multiple LLM platforms
Provide AI with long-term personal memory for better relationship-building with users
Allow AI to autonomously organize and retrieve complex information structures across sessions

filesystem · Use cases

Enable AI models to read and write project files during development
Allow Claude or other MCP clients to browse and analyze codebases
Provide secure sandboxed access to specific directories for content generation

nocturne_memory · Install

Installation

Prerequisites

Python 3.10+
Node.js (for building the dashboard frontend)

Step 1: Clone & Install Dependencies

git clone https://github.com/Dataojitori/nocturne_memory.git
cd nocturne_memory
pip install -r backend/requirements.txt

Step 2: Connect to Your AI Client

Add to your AI client's MCP configuration (replace with your actual path):

{
  "mcpServers": {
    "nocturne_memory": {
      "command": "python",
      "args": ["/path/to/nocturne_memory/backend/mcp_server.py"]
    }
  }
}

For Claude Desktop

{
  "mcpServers": {
    "nocturne-memory": {
      "command": "python",
      "args": ["/path/to/nocturne_memory/backend/mcp_server.py"]
    }
  }
}

For Antigravity (Windows)

Due to CRLF/LF issues on Windows, use the wrapper:

{
  "mcpServers": {
    "nocturne_memory": {
      "command": "python",
      "args": ["/path/to/nocturne_memory/backend/mcp_wrapper.py"]
    }
  }
}

filesystem · Install

Installation

Using NPX

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/path/to/allowed/directory"
      ]
    }
  }
}

Using Docker

{
  "mcpServers": {
    "filesystem": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
        "mcp/filesystem",
        "/projects"
      ]
    }
  }
}

VS Code Extension

Click the installation buttons in the README to install directly in VS Code.

Comparison generated from public README + GitHub signals. Last updated automatically.